Triple
T21843096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jia-Chien |
E539302
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Jia-Jen
Jia-Jen is a character in Ang Lee’s film "Eat Drink Man Woman," known as the middle daughter who turns to devout Christianity and undergoes a quiet personal transformation.
|
E1504854
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jia-Jen | Statement: [Jia-Chien, sibling, Jia-Jen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jia-Jen Context triple: [Jia-Chien, sibling, Jia-Jen]
-
A.
Hung-jen
Hung-jen, also known as Hongren, was a prominent 7th-century Chinese Chan (Zen) Buddhist master traditionally regarded as the Fifth Patriarch of Chan Buddhism.
-
B.
Tzu-wen
Tzu-wen is the given name of Soong Tzu-wen, a prominent Chinese financier and politician of the early 20th century.
-
C.
Peng-Yen
Peng-Yen is the given name of Peng-Peng Lee, a Canadian artistic gymnast known for her NCAA career with the UCLA Bruins and international competition for Canada.
-
D.
Hsiao-wen
Hsiao-wen is the given name of Chiang Hsiao-wen, a member of the Chiang family associated with modern Chinese political history.
-
E.
Jiali
Jiali is the original Chinese title of the work known in English as "Family Rituals."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jia-Jen Triple: [Jia-Chien, sibling, Jia-Jen]
Generated description
Jia-Jen is a character in Ang Lee’s film "Eat Drink Man Woman," known as the middle daughter who turns to devout Christianity and undergoes a quiet personal transformation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jia-Jen Target entity description: Jia-Jen is a character in Ang Lee’s film "Eat Drink Man Woman," known as the middle daughter who turns to devout Christianity and undergoes a quiet personal transformation.
-
A.
Hung-jen
Hung-jen, also known as Hongren, was a prominent 7th-century Chinese Chan (Zen) Buddhist master traditionally regarded as the Fifth Patriarch of Chan Buddhism.
-
B.
Tzu-wen
Tzu-wen is the given name of Soong Tzu-wen, a prominent Chinese financier and politician of the early 20th century.
-
C.
Peng-Yen
Peng-Yen is the given name of Peng-Peng Lee, a Canadian artistic gymnast known for her NCAA career with the UCLA Bruins and international competition for Canada.
-
D.
Hsiao-wen
Hsiao-wen is the given name of Chiang Hsiao-wen, a member of the Chiang family associated with modern Chinese political history.
-
E.
Jiali
Jiali is the original Chinese title of the work known in English as "Family Rituals."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7ad76d48190a1905cfdbe866323 |
completed | April 28, 2026, 12:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bc8b0fc8190a1ce537e302a3458 |
completed | May 17, 2026, 11:14 p.m. |
| NEDg | Description generation | batch_6a0a4cbcf4f88190b62e37214f00c496 |
completed | May 17, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a4d213ea48190b170e28b10a0c92f |
completed | May 17, 2026, 11:20 p.m. |
Created at: April 16, 2026, 6:55 p.m.